Avena 2015.
Study characteristics | ||
General information | Objective
Journal
Country
Study design
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Participants | Number of included patients
Surgical specialty
Age
Male sex
High‐risk surgery
Insulin‐dependent diabetes mellitus
History of ischaemic heart disease
History of congestive heart failure
History of cerebrovascular events
Elevated creatinine
0 RCRI factors
1 to 2 factors
3 or more RCRI factors
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Predictors | Predictor 1: Vascular study group of New England cardiac risk index (VSG‐CRI) Objective: prediction model compared
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Outcome | Outcome category
Full outcome definition
Prediction horizon
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Analysis | Number of outcomes
Handling missing data
Discrimination reported?
Calibration reported?
Reclassification reported?
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PROBAST: Applicability | Domain 1: Participant selection
Justification: included patients have very high incidence of comorbidities Domain 2: Predictors
Justification: no information on predictor definitions Domain 3: Outcome
Justification: outcome does not match outcome of the development study Overall judgement
Justification: only a selected group of patients was included, there was no/unclear information on predictor definitions and outcome definition was different compared to the development study |
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Notes | — | |
Item | Authors' judgement | Support for judgement |
Domain 1: Participant selection | Yes | Although only patients undergoing vascular surgery were included, participant selection was appropriate and the RCRI model can be applied in these patients. |
Domain 2: Predictors | Unclear | No information on predictor definitions |
Domain 3: Outcome | Unclear | No standardised definition of composite outcomes; no information how outcomes were assessed. |
Domain 4: Analysis | No | Low number of outcomes; no estimate reported; no handling of missing data. |
Overall judgement | No | Patient selection was appropriate. However, predictors and outcomes definitions were unclear. In addition, the number of outcomes was low, no performance measures were reported and no information on handling of missing data. |